Why hotels or other businesses on Google Maps?

Ok, Google does have it, but how can I get the data?
The first thing that comes to mind for those who understand what is scraping is to scrape the data. Google Map scraping, harvesting, or extracting is a process of getting all the information about places (name, address, coordinates, site, phone, working hours, etc.) from the Google Maps site. It automates manual exporting of the data and saves a lot of time for marketing teams.4 ways to scrape Google places
There are several ways to get the data into a CSV/excel file:- write your own script;
- use official Google Places API;
- hire a frellancer;
- use existing scrapers, like गूगल मैप्स स्क्रैपर.
Using the official Google Places API will be a good option but might be costly for small teams. Moreover, the fields are limited, but fortunately, you still can get some main data like names, coordinates, addresses, etc.

Using an existing cloud scraper like गूगल मैप्स स्क्रैपर will be the ultimate option, as it will not require any developer's skills and the prices much lower than using the Official API. You can get the results into a CSV/excel file. The results contain a variety of fields, including phone numbers, emails, social links, etc.
The challenge of scraping the hotels from the entire country

Therefore, the challenge of getting all the results from a country is to create a list of queries that will search for specific places in some limited areas.
What queries do you need to scrape hotels from the US?
The solution will be a combination of different categories (Hotel, Family Hotel, Luxury Hotel, etc.) along with locations split into small areas (neighborhoods, counties, etc.), for example:- McDonald's, Albany, New York, United States
- McDonald's, Amherst, New York, United States
- Hotels, 04781, CA, US
- Hotels, 04783, CA, US
- Hotels, 04785, CA, US
- Hotels, 04786, CA, US
Categories
The entire list of all the categories from Google Places can be found here. In this example, we are using गूगल मैप्स स्क्रैपर, so we don't need to combine the categories with locations now. Moreover, as we are going to use postal codes, it will be enough to use only one main category "hotel":
Locations
The ideal location will be a postal code with a city and the country name. Using small cities or neighborhoods also will work great. If you are using आउटस्क्रैपर, there is no need to find postal codes or a list of cities. Just select the required regions from the dropdown. You also can use this file to get all the locations and use it inside any other app:
To specify the locations manually, use the "custom locations" checkbox and insert the data from any table you have. Make sure you have a country name inside each location. This will help the scraper to find the places regardless of the IP address it's using:

Advanced parameters
While using गूगल मैप्स स्क्रैपर you can select the language, total places limit, and whether to extract additional data from places' websites or not. Don't forget to select the region to eliminate any other countries that might appear from cities with ambiguous names.You also might want to use "Drop duplicates" so you will ignore duplicate items inside a single task (the same places from different queries):

Starting the scraping task

If you are running the first extraction, it will ask you to verify the account. Follow the instructions on the pop-up page and click "I've performed the actions" once you verified the account. When your task is running, you can open the कार्य पृष्ठ to monitor the progress:

Results

- name
- site
- type
- subtypes
- phone
- full_address
- borough
- street
- city
- postal_code
- state
- us_state
- country
- country_code
- latitude
- longitude
- time_zone
- plus_code
- rating
- समीक्षा
- reviews_link
- reviews_per_score
- photos_count
- photo
- working_hours
- working_hours_old_format
- business_status
- about
- range
- posts
- verified
- owner_id
- owner_title
- owner_link
- reserving_table_link
- booking_appointment_link
- location_link
- place_id
- google_id
- reviews_id
- email2
- ट्विटर
- लिंक्डइन
- फेसबुक
- google_plus
- skype
- telegram
- site_generator
- site_title
- site_description
- site_keywords
Video tutorial on how to scrape Google Maps using Outscraper cloud application
और चाहिए?
अभी साइनअप करें और प्रचार कोड का उपयोग करें: आउटस्क्रेपर1 एक पाने के लिए 10% बंद छूट।Scraper app ► https://app.outscraper.com/googleMaps Google Maps scraper page ► https://outscraper.com/google-maps-scraper Google मानचित्र स्क्रैपर पृष्ठ की समीक्षा करता है https://outscraper.com/google-maps-reviews-scraper Google मानचित्र स्थान रीयल टाइम API https://outscraper.com/google-maps-api
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